Deepthi Karkada

I’m a deep learning software engineer specializing in ML/DL performance optimizations. I have worked on Deep learning framework optimizations targeted for Intel Architectures and I have also worked on building custom ML/DL solutions. I have a Master’s degree in Electrical and Computer Engineering. I’m passionate about building conversational systems for tutoring. I have co-authored several peer-reviewed paper publications in the ML domain as well as technical articles.

news

Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 7, 2015	A long announcement with details
Oct 22, 2015	A simple inline announcement.

selected publications

Federated learning enables big data for rare cancer boundary detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, and 274 more authors

Nature Communications Dec 2022
Strategy-level Entrainment in Dialogue Systems for a Creative Visual Reference Resolution Task

Deepthi Karkada, Ramesh Manuvinakurike, Maike Paetzel-Prüsmann, and Kallirroi Georgila

In Proceedings of the Thirteenth Language Resources and Evaluation Conference Jun 2022

Abs

In this work, we study entrainment of users playing a creative reference resolution game with an autonomous dialogue system. The language understanding module in our dialogue system leverages annotated human-wizard conversational data, openly available knowledge graphs, and crowd-augmented data. Unlike previous entrainment work, our dialogue system does not attempt to make the human conversation partner adopt lexical items in their dialogue, but rather to adapt their descriptive strategy to one that is simpler to parse for our natural language understanding unit. By deploying this dialogue system through a crowd-sourced study, we show that users indeed entrain on a “strategy-level” without the change of strategy impinging on their creativity. Our work thus presents a promising future research direction for developing dialogue management systems that can strategically influence people’s descriptive strategy to ease the system’s language understanding in creative tasks.
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model

Aishwarya Bhandare, Vamsi Sripathi, Deepthi Karkada, Vivek Menon, Sun Choi, and 2 more authors

CoRR Jun 2019